Heikki Hyyti

Papers

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About

Heikki Hyyti is at the forefront of integrating advanced sensing technologies with autonomous systems, specializing in mobile laser scanning (MLS), lidar perception, and forest machine automation. His work bridges the gap between raw sensor data and real-time operational intelligence, with a particular focus on optimizing the forest value chain. Hyyti’s most impactful contribution demonstrates how integrating a mobile laser scanning system with a forest harvester enables accurate localization and tree stem measurements—a breakthrough that promises to automate and streamline forestry operations (18 citations). He has also pioneered the use of hyperspectral single-photon lidar for robust autonomous vehicle perception, showing how this technology can overcome challenging illumination conditions that confound traditional sensors (17 citations). Notably, Hyyti introduced a novel paradigm for preregistration classification of mobile lidar data, operating on raw data streams to classify points before registration—a significant efficiency gain for real-time applications (8 citations). His work is characterized by a forward-looking approach that combines hardware integration with algorithmic innovation, positioning him as a key contributor to the next generation of autonomous perception and precision forestry.